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Tzang CC, Chi LY, Lee CY, Chang ZY, Luo CA, Chen YH, Lin TA, Yu LC, Chen YR, Tzang BS, Hsu TC. Clinical implications of human Parvovirus B19 infection on autoimmunity and autoimmune diseases. Int Immunopharmacol 2025; 147:113960. [PMID: 39746271 DOI: 10.1016/j.intimp.2024.113960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Revised: 12/05/2024] [Accepted: 12/24/2024] [Indexed: 01/04/2025]
Abstract
Parvovirus B19 (B19V) is a human pathogen from the Parvoviridae family that primarily targets and replicates in erythroid progenitor cells (EPCs). While its symptoms are typically self-limiting in healthy individuals, B19V can cause or exacerbate autoimmune diseases in vulnerable patients. This review integrates the involvement of B19V in the development and worsening of several autoimmune diseases, including systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), juvenile idiopathic arthritis (JIA), hematological disorders (thalassemia, anemia, and thrombocytopenia), vasculitis, antiphospholipid syndrome (APS), dermatological disease (systemic sclerosis, psoriasis), autoimmune thyroid disease, myocarditis, and myasthenia gravis, and autoinflammatory disease of adult-onset Still's disease (AOSD). B19V contributes to autoimmunity and autoimmune disease onset and progression through mechanisms such as molecular mimicry, immune system disruption, and chronic infection. By summarizing findings from in vitro experiments, clinical case studies, seroprevalence data, and biopsy results, this review highlights the critical connection between B19V and autoimmune disease development. Recognizing the role of B19V in the early diagnosis and management of these conditions is essential, as its presence may influence the disease course and severity. Greater awareness among healthcare professionals and the public is necessary to address the impact of B19V, leading to more accurate diagnoses and better-informed treatment approaches for autoimmune diseases linked to the virus.
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Affiliation(s)
- Chih-Chen Tzang
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Liang-Yun Chi
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Chen-Yu Lee
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Zi-Yi Chang
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Chiao-An Luo
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Yan-Hua Chen
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Tzu-An Lin
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Liang-Chien Yu
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Yo-Rong Chen
- School of Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Bor-Show Tzang
- Department of Biochemistry, School of Medicine, Chung Shan Medical University, Taichung 402, Taiwan; Institute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan; Department of Clinical Laboratory, Chung Shan Medical University Hospital, Taichung 402, Taiwan; Immunology Research Center, Chung Shan Medical University, Taichung 402, Taiwan.
| | - Tsai-Ching Hsu
- Institute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan; Department of Clinical Laboratory, Chung Shan Medical University Hospital, Taichung 402, Taiwan; Immunology Research Center, Chung Shan Medical University, Taichung 402, Taiwan.
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Predictors of Mechanical Ventilation in Guillain-Barré Syndrome with Axonal Subtypes. Can J Neurol Sci 2023; 50:221-227. [PMID: 35189990 DOI: 10.1017/cjn.2022.19] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND The early clinical predictors of respiratory failure in Latin Americans with Guillain-Barré syndrome (GBS) have scarcely been studied. This is of particular importance since Latin America has a high frequency of axonal GBS variants that may imply a worse prognosis. METHODS We studied 86 Mexican patients with GBS admitted to the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, a referral center of Mexico City, to describe predictors of invasive mechanical ventilation (IMV). RESULTS The median age was 40 years (interquartile range: 26-53.5), with 60.5% men (male-to-female ratio: 1.53). Most patients (65%) had an infectious antecedent (40.6% gastrointestinal). At admission, 38% of patients had a Medical Research Council (MRC) sum score <30. Axonal subtypes predominated (60.5%), with acute motor axonal neuropathy being the most prevalent (34.9%), followed by acute inflammatory demyelinating polyneuropathy (32.6%), acute motor sensory axonal neuropathy (AMSAN) (25.6%), and Fisher syndrome (7%). Notably, 15.1% had onset in upper limbs, 75.6% dysautonomia, and 73.3% pain. In all, 86% received either IVIg (9.3%) or plasma exchange (74.4%). IMV was required in 39.5% patients (72.7% in AMSAN). A multivariate model without including published prognostic scores yielded the time since onset to admission <15 days, axonal variants, MRC sum score <30, and bulbar weakness as independent predictors of IMV. The model including grading scales yielded lower limbs onset, Erasmus GBS respiratory insufficiency score (EGRIS) >4, and dysautonomia as predictors. CONCLUSION These results suggest that EGRIS is a good prognosticator of IMV in GBS patients with a predominance of axonal electrophysiological subtypes, but other early clinical data should also be considered.
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Al-Beltagi M, Saeed NK, Bediwy AS. COVID-19 disease and autoimmune disorders: A mutual pathway. World J Methodol 2022; 12:200-223. [PMID: 36159097 PMCID: PMC9350728 DOI: 10.5662/wjm.v12.i4.200] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 06/17/2022] [Accepted: 07/06/2022] [Indexed: 02/06/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is a real challenge for humanity with high morbidity and mortality. Despite being primarily a respiratory illness, COVID-19 can affect nearly every human body tissue, causing many diseases. After viral infection, the immune system can recognize the viral antigens presented by the immune cells. This immune response is usually controlled and terminated once the infection is aborted. Nevertheless, in some patients, the immune reaction becomes out of control with the development of autoimmune diseases. Several human tissue antigens showed a strong response with antibodies directed against many severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) proteins, such as SARS-CoV-2 S, N, and autoimmune target proteins. The immunogenic effects of SARS-CoV-2 are due to the sizeable viral RNA molecules with interrupted transcription increasing the pool of epitopes with increased chances of molecular mimicry and interaction with the host immune system, the overlap between some viral and human peptides, the viral induced-tissue damage, and the robust and complex binding between sACE-2 and SARS-CoV-2 S protein. Consequently, COVID-19 and its vaccine may trigger the development of many autoimmune diseases in a predisposed patient. This review discusses the mutual relation between COVID-19 and autoimmune diseases, their interactive effects on each other, the role of the COVID-19 vaccine in triggering autoimmune diseases, the factors affecting the severity of COVID-19 in patients suffering from autoimmune diseases, and the different ways to minimize the risk of COVID-19 in patients with autoimmune diseases.
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Affiliation(s)
- Mohammed Al-Beltagi
- Department of Pediatrics, Faculty of Medicine, Tanta University, Tanta 31527, Algharbia, Egypt
- Department of Pediatrics, University Medical Center, King Abdulla Medical City, Arabian Gulf University, Dr. Sulaiman Al-Habib Medical Group, Manama 26671, Manama, Bahrain
| | - Nermin Kamal Saeed
- Medical Microbiology Section, Department of Pathology, Salmaniya Medical Complex, Ministry of Health, Kingdom of Bahrain, Manama 12, Manama, Bahrain
- Microbiology Section, Department of Pathology, Irish Royal College of Surgeon, Bahrain, Busaiteen 15503, Muharraq, Bahrain
| | - Adel Salah Bediwy
- Department of Chest Disease, Faculty of Medicine, Tanta University, Tanta 31527, Algharbia, Egypt
- Department of Chest Disease, University Medical Center, King Abdulla Medical City, Arabian Gulf University, Dr. Sulaiman Al-Habib Medical Group, Manama 26671, Manama, Bahrain
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Kunal S, Madan M, Tarke C, Gautam DK, Kinkar JS, Gupta K, Agarwal R, Mittal S, Sharma SM. Emerging spectrum of post-COVID-19 syndrome. Postgrad Med J 2021; 98:633-643. [PMID: 34880080 DOI: 10.1136/postgradmedj-2020-139585] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 11/13/2021] [Indexed: 12/16/2022]
Abstract
'Post-COVID-19 syndrome' refers to symptoms in the convalescent phase following initial COVID-19 infection. This term encompasses a wide array of presentation involving lungs, heart and the neuromuscular system. Pulmonary manifestations include post-COVID-19 fibrosis, which is akin to post acute respiratory distress syndrome fibrosis and may reflect the permanent damage to the lungs following an initial bout of infection. Cardiovascular system is often involved, and the presentation can be in terms of acute coronary syndrome, myocarditis and heart failure. Clinical manifestations are often varied and non-specific, which entails a detailed workup and a multidisciplinary approach. Post-COVID-19 syndrome adds to the overall disease morbidity and leads to a prolonged hospital stay, greater healthcare utilisation and loss of productivity marring the country's dwindling economy. Thus, it is imperative that post-COVID-19 syndrome be prevented and identified early followed by a prompt treatment.
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Affiliation(s)
- Shekhar Kunal
- Department of Cardiology, SMS Medical College and Hospital, Jaipur, Rajasthan, India
| | - Manu Madan
- Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | - Chandrakant Tarke
- Department of Pulmonology, Apollo Hospital, Hyderabad, Telangana, India
| | - Dinesh Kumar Gautam
- Department of Cardiology, SMS Medical College and Hospital, Jaipur, Rajasthan, India
| | - Jiwan Shriram Kinkar
- Department of Neurology, SMS Medical College and Hospital, Jaipur, Rajasthan, India
| | - Kashish Gupta
- Department of Medicine, SG Diabetes Centre, Delhi, India
| | - Ritu Agarwal
- Department of Radiodiagnosis, SMS Medical College and Hospital, Jaipur, Rajasthan, India
| | - Shruti Mittal
- Department of Radiodiagnosis, Maulana Azad Medical College, New Delhi, India
| | - Shashi Mohan Sharma
- Department of Cardiology, SMS Medical College and Hospital, Jaipur, Rajasthan, India
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Liu H, Yang L, Li Z, Cheng G. Fulminant Guillain-Barré syndrome developed after surgical treatment of intracranial hemorrhage due to arteriovenous malformation: a case report. Neurol Sci 2021; 43:749-752. [PMID: 34324122 PMCID: PMC8319900 DOI: 10.1007/s10072-021-05384-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 06/04/2021] [Indexed: 11/26/2022]
Abstract
Guillain-Barré syndrome (GBS) is a rare autoimmune disorder. GBS after surgical treatment of intracranial hemorrhage due to arteriovenous malformation (AVM) is even rarer. We present a 62-year-old man diagnosed with intracranial AVM and cerebral hemorrhage. He developed GBS after the operation for AVM and cerebral hemorrhage. Following surgical excision of AVM and cerebral hematoma, the patient developed generalized weakness, with subsequent quadriplegia and life-threatening dyspnea. The diagnosis was confirmed to be the acute motor-sensory axonal neuropathy subtype of GBS after cerebrospinal fluid analysis and antibody tests. The patient responded poorly to immunoglobulin and steroid therapy. His family abandoned further management and signed out of the hospital against medical advice. Despite being rare, GBS can occur after intracranial hemorrhage and surgery. Clinicians should rule out GBS when patients show no improvement or develop new neurologic.
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Affiliation(s)
- Hongyuan Liu
- Department of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, People's Republic of China.
| | - Liling Yang
- Department of Nephrology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, People's Republic of China
| | - Zongping Li
- Department of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, People's Republic of China
| | - Gang Cheng
- Department of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, People's Republic of China.
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Agosti E, Giorgianni A, D'Amore F, Vinacci G, Balbi S, Locatelli D. Is Guillain-Barrè syndrome triggered by SARS-CoV-2? Case report and literature review. Neurol Sci 2021; 42:607-612. [PMID: 32643136 PMCID: PMC7343406 DOI: 10.1007/s10072-020-04553-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 07/02/2020] [Indexed: 01/27/2023]
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the infectious agent responsible for coronavirus disease 2019 (COVID-19). Respiratory and gastrointestinal manifestations of SARS-CoV-2 are well described, less defined is the clinical neurological spectrum of COVID-19. We reported a case of COVID-19 patient with acute monophasic Guillain-Barré syndrome (GBS), and a literature review on the SARS-CoV-2 and GBS etiological correlation. CASE DESCRIPTION A 68 years-old man presented to the emergency department with symptoms of acute progressive symmetric ascending flaccid tetraparesis. Oropharyngeal swab for SARS-CoV-2 tested positive. Neurological examination showed bifacial nerve palsy and distal muscular weakness of lower limbs. The cerebrospinal fluid assessment showed an albuminocytologic dissociation. Electrophysiological studies showed delayed distal latencies and absent F waves in early course. A diagnosis of Acute Inflammatory Demyelinating Polyradiculoneuropathy (AIDP) subtype of GBS was then made. CONCLUSIONS Neurological manifestations of COVID-19 are still under study. The case we described of GBS in COVID-19 patient adds to those already reported in the literature, in support of SARS-CoV-2 triggers GBS. COVID-19 associated neurological clinic should probably be seen not as a corollary of classic respiratory and gastrointestinal symptoms, but as SARS-CoV-2-related standalone clinical entities. To date, it is essential for all Specialists, clinicians and surgeons, to direct attention towards the study of this virus, to better clarify the spectrum of its neurological manifestations.
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Affiliation(s)
- Edoardo Agosti
- Division of Neurosurgery, Department of Biotechnology and Life Sciences, University of Insubria, Via Guicciardini, 9, 21100, Varese, Italy.
| | - Andrea Giorgianni
- Department of Neuroradiology, ASST Sette Laghi, University of Insubria, Varese, Italy
| | - Francesco D'Amore
- Department of Neuroradiology, ASST Sette Laghi, University of Insubria, Varese, Italy
| | | | - Sergio Balbi
- Division of Neurosurgery, Department of Biotechnology and Life Sciences, University of Insubria, Via Guicciardini, 9, 21100, Varese, Italy
| | - Davide Locatelli
- Division of Neurosurgery, Department of Biotechnology and Life Sciences, University of Insubria, Via Guicciardini, 9, 21100, Varese, Italy
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Huang Y, Luo C, Jiang Y, Du J, Tao C, Chen Y, Hao Y. Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: A Development and Validation Study (Preprint). JMIR Public Health Surveill 2020; 8:e25658. [PMID: 35333192 PMCID: PMC8994148 DOI: 10.2196/25658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 12/27/2020] [Accepted: 02/02/2022] [Indexed: 11/18/2022] Open
Abstract
Background Identifying the key factors of Guillain-Barré syndrome (GBS) and predicting its occurrence are vital for improving the prognosis of patients with GBS. However, there are scarcely any publications on a forewarning model of GBS. A Bayesian network (BN) model, which is known to be an accurate, interpretable, and interaction-sensitive graph model in many similar domains, is worth trying in GBS risk prediction. Objective The aim of this study is to determine the most significant factors of GBS and further develop and validate a BN model for predicting GBS risk. Methods Large-scale influenza vaccine postmarketing surveillance data, including 79,165 US (obtained from the Vaccine Adverse Event Reporting System between 1990 and 2017) and 12,495 European (obtained from the EudraVigilance system between 2003 and 2016) adverse events (AEs) reports, were extracted for model development and validation. GBS, age, gender, and the top 50 prevalent AEs were included for initial BN construction using the R package bnlearn. Results Age, gender, and 10 AEs were identified as the most significant factors of GBS. The posttest probability of GBS suggested that male vaccinees aged 50-64 years and without erythema should be on the alert or be warned by clinicians about an increased risk of GBS, especially when they also experience symptoms of asthenia, hypesthesia, muscular weakness, or paresthesia. The established BN model achieved an area under the receiver operating characteristic curve of 0.866 (95% CI 0.865-0.867), sensitivity of 0.752 (95% CI 0.749-0.756), specificity of 0.882 (95% CI 0.879-0.885), and accuracy of 0.882 (95% CI 0.879-0.884) for predicting GBS risk during the internal validation and obtained values of 0.829, 0.673, 0.854, and 0.843 for area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy, respectively, during the external validation. Conclusions The findings of this study illustrated that a BN model can effectively identify the most significant factors of GBS, improve understanding of the complex interactions among different postvaccination symptoms through its graphical representation, and accurately predict the risk of GBS. The established BN model could further assist clinical decision-making by providing an estimated risk of GBS for a specific vaccinee or be developed into an open-access platform for vaccinees’ self-monitoring.
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Affiliation(s)
- Yun Huang
- Department of Medical Statistics, Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Chongliang Luo
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States
- Division of Public Health Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Ying Jiang
- Department of Neurology and Multiple Sclerosis Research Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jingcheng Du
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Cui Tao
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Yong Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States
| | - Yuantao Hao
- Department of Medical Statistics, Sun Yat-Sen University, Guangzhou, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
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